The effects of grandparenting involvement and emotional attachments on emotional and behavioral development among adolescents were explored through the use of a UK cross-sectional national data of 1,566 adolescents aged eleven to sixteen years old receiving some form of grandparenting. A correlation and logistic regression analyses yielded results that supported the positive effects of grandparenting on the emotional and behavioral disorder symptoms of adolescents. The results indicate that most selected socio-demographic, grandparenting involvement, and the emotional attachment variables of grandchildren influenced the likelihood of increasing or decreasing emotional disorder symptoms among adolescents. However, no support was found for perceiving emotional attachments with grandparents as a predictor of behavioral disorder symptoms among youth, whereas socio-demographic and grandparenting involvement variables showed significant impacts on behavioral disorder symptoms. The findings highlight the importance of a systematic approach about the socio-demographic characteristics, levels of grandparenting, and emotional attachment levels with grandparents to understand youth cared for by grandparents that experience emotional and/or behavioral disorder symptoms, when intervention or prevention programs are considered.
The purpose of this study was to analyze the motives of residential mobility and variables which effect it through surveying questionaires of 240 housewives who lived in a tenement house. The analytical methods adopted in this study were factor analysis, one-way ANOVA, Duncan's multiple range test, multiple regression analysis. The SPSS+ program was used in analysis. The major findings were as follows: First, the motives were composed of 6 factors ; housing improvement, housing policy, accumulation of property, comfortable residential environment, educational environment, traffic convenience. Second, there were a significant differences in residential mobility according to socio-demographic and housing variables. Third, in analysis of variables which effect residential mobility, a housing improvement influenced by socio-demographic variables, an comfortable residential environment influenced by housing variables and also family life cycle was a variable that effect factors such as housing policy, accumulation of property, educational environment and traffic convenience.
The objectives of this study were (1) to find out if consumer attitude variables, that is, attitude on post-industrial age consumer value, attitude on consumerism, have significant effects on consumer role performance, (2) to find out if socio-demographic variables, that is, age, educational level, family income, social status, have significant effects on consumer role performance, (3) to examine the independent influences of variables related to each subarea consumer role performance. The data used in this study inclued 573 homemakers living in Seoul. Statistical methods were ANOVA and Multiple Regression Analysis. Major findings were as follows;1) consumer role performance and each subarea consumer role performance differed significantly according to all the variables related to consumer attitude. 2) All the socio-demographic variables had significant effects on consumer role performance. 3) Resulting from multiple regression analysis, consumer role performance and all the subarea consumer role performance had the positive liner relationships with the variables such as attitude on post-industrial age consumer value, attitude on consumerism, educational level, The most influencial variable was attitude on post-industrial age consumer value, and in turn educational level and attitude on consumerism.
The achievements of genome-wide association studies have suggested ways to predict diseases, such as type 2 diabetes (T2D), using single-nucleotide polymorphisms (SNPs). Most T2D risk prediction models have used SNPs in combination with demographic variables. However, it is difficult to evaluate the pure additive contribution of genetic variants to classically used demographic models. Since prediction models include some heritable traits, such as body mass index, the contribution of SNPs using unmatched case-control samples may be underestimated. In this article, we propose a method that uses propensity score matching to avoid underestimation by matching case and control samples, thereby determining the pure additive contribution of SNPs. To illustrate the proposed propensity score matching method, we used SNP data from the Korea Association Resources project and reported SNPs from the genome-wide association study catalog. We selected various SNP sets via stepwise logistic regression (SLR), least absolute shrinkage and selection operator (LASSO), and the elastic-net (EN) algorithm. Using these SNP sets, we made predictions using SLR, LASSO, and EN as logistic regression modeling techniques. The accuracy of the predictions was compared in terms of area under the receiver operating characteristic curve (AUC). The contribution of SNPs to T2D was evaluated by the difference in the AUC between models using only demographic variables and models that included the SNPs. The largest difference among our models showed that the AUC of the model using genetic variants with demographic variables could be 0.107 higher than that of the corresponding model using only demographic variables.
Jeong, Jeong Kyo;Kim, Myung Kwan;Park, Gi Nam;Kim, Jung Ho;Kim, Young Il
Journal of Acupuncture Research
/
v.34
no.2
/
pp.19-38
/
2017
Objectives : This is a retrospective statistical analysis of the demographic and therapeutic characteristics influencing the continued improvement of symptoms in patients treated in 2014 for herniated lumbar discs at a Korean medicine hospital; thereby, providing clinical data to further improve medical services of Korean medicine. Methods : We investigated the demographic and therapeutic variables of all patients who were diagnosed with a herniated lumbar intervertebral disc and were hospitalized for more than 1 night at Dunsan Korean medicine hospital from January 1, 2014, to December 31, 2014. IBM SPSS 21.0 was used to conduct a logistic multiple regression analysis and a covariance analysis (ANCOVA) of the demographic and therapeutic variables collected from the electronic medical records and telephone surveys. Results : 1. A longer duration of hospitalization was significantly better for the maintenance of pain relief or a decrease in the pain after discharge. 2. Younger patients were significantly less likely to be treated with a Western medical treatment after discharge. 3. Most of the demographic and therapeutic variables were not statistically significant in regards to treatment for lower back pain since discharge. Conclusion : Some of the demographic and therapeutic variables had a positive effect on the prognosis at one year or greater in patients who received integrative Korean medical treatment for lumbar disc herniation. Continued and systematic research will be needed.
Purpose: The purpose of this study was to systematically review and identify factors relevant to the positive psychological capital of clinical nurses. Methods: These was no limit on year of publication. Articles related to Korean clinical nurses were retrieved from computerized database using a manual search. A systematic review was conducted based on the PRISMA flow. The total correlational effect size (ESr) for each related factor was calculated from Fisher's Zr. Funnel plots, fail-safe numbers, and Egger regression tests were used to evaluate publication bias in meta-analysis studies. The correlational effect size of 25 studies was analyzed through meta-analysis using Comprehensive Meta-Analysis software 3.0 (CMA). Results: The review included 25 studies. In the systematic review, 14 demographic factors and 46 organizational factors were found to be influential. Eleven factors (6 demographic factors and 5 organizational factors) were appropriate for meta-analysis. The overall effect size was .26. The demographic total correlation effect size of related factors was .20 and the total effect size of organization was .46. Organizational commitment (ESr=.38) and job satisfaction (ESr=.54) were statistically positively related variables. Negative variables were burnout (ESr=-.61), turnover intention (ESr=-.41) and workplace bullying (ESr=-.33). The total effect size of the organizational factors was larger than the demographic total effect size. There was no publication bias except for demographic variables. Conclusion: Organizational factors and adjustable variables have a significant impact on positive psychological capital. The results of this study support the need for development of interventions focusing on organizational factors.
The purpose of this study is to classify several variable which were assumed to have relationship with the college students behavior of Hyo, to see their possible correlation with demographic characteristics, and to proved some useful data for their possible correlation with demographic characteristics. and to provide some useful data for their sound value system. The data for this study was obtained form the survey of the 477 students who reside in the city of Seoul by using questionnaire methods. The frequency of variables was statistically analyzed to see the general character of the samples and factor analysis was made for classification of the college student's behavior of Hyo. In order to study th characteristic of demographic variables, t-test and ANOVA were conducted The major findings of this study can be summarized as follows. 1) As the result of factor analysis about behavior of Hyo, six factors (Which Eigen value was above 1.0) out of 64 questions were extracted : 'respect' familiarity' 'family consciousness' 'serve' self-preservation, establishmence of them-selves in life' and 'self-reliance' were selected. 2)In general, it can be said that the college students' behavior of Hyo varies by demographic variables. 3) By surveying the level of actualizing Hyo of the college students' all of factors ranged from 'the middle' to 'the high level'. The result confirmed that students fulfilled the behavior of Hyo to their parents in all items.
This study examined the degree of appearance interest and clothing conformity, the impacts of appearance interest on clothing conformity, and the effects of appearance interest and demographic variables on clothing conformity. A questionnaire survey collected data from October $3^{rd}$ to $27^{th}$ 2011. A convenience sample was drawn from adults between the ages of 17 and 76 who lived in the Daegu and Gyeongbuk regions of South Korea. A total of 513 responses produced complete and usable questionnaires. Data were tested through factor analysis and regression analysis, using SPSS 20.0. The results of this study are as follows : First, three factors were extracted from clothing conformity (normative, informative, identifiable conformity). The appearance interest was relatively high and normative conformity was the highest level among three factors of clothing conformity. Second, appearance interest was significant predictors of clothing conformity. Third, demographic variables such as gender, marital status, age and education levels had significant effects on the relationship between appearance interest and clothing conformity.
The purpose of this study was to investigate the cause-effect relationship between demographic variables and self-efficacy and job stress of occupational therapists through the analysis of structural equation modeling. The survey was completed 164 occupational therapists using questionnaire consisted of demographic variables, job stress and self-efficacy. The results of this study were follows: Firstly, regarding the measurement about reliability and validity of scale of job stress and self-efficacy, all subfactor of self-efficacy and three subfactor of job stress were useful for occupational therapists; Secondly, there were significant correlations between demographic variables and self-efficacy except the correlations between variables job status; Thirdly, the structural equation modeling were employed to identify the relations among demographic variables, self-efficacy and job stress of occupational therapists. Thus the appropriateness of research model was good. This study focused on exploration of the relationship between self-efficacy and job stress through structural equation modeling.
Journal of the Korean Society of Clothing and Textiles
/
v.12
no.3
s.28
/
pp.333-342
/
1988
The purpose of this study was to investigate the relationship between Perception of self anp Clothing Interest, and to determine the difference of Clothing interest and Perception of self by the demographic variables. Perception of self was measured with Perception of self test from Choi's Perceptual Orientation Scale. Appearance, Clothing comfort, Fashion, Psychological dependence, Clothing economics were measured with items from Gurel's Study and Creekmore's for method of measuring clothing variables, items were drawn from preceding measures and, slightly modified. Data were affected from 305 purposively selectee! elderly women over sixty dwelling in Seoul by means of interview and questionnaire. For statistical analyses, frequency distribution, ANOVA, Duncan's multiple Range test, Pearson's Correlation coefficients were used. The results were as follows; 1. The three groups classified, by Perception of self were Positively Correlated to Appearance, Fashion and Psychological dependence. 2. There was partially significant difference between clothing interest and demographic variables. Education and socioeconomic status affected Psychological dependence. Demographic variables not affected Clothing comfort. 3. There was partially significant difference between Perception of self and demographic variables. Age, education, marital status and socioeconomic status affected Perception of Self. 4. There was partially significant relationships among subscales of the Clothing interest. Appearance was positively correlated to clothing comfort, Fashion and Psychological dependence, clothing comfort was positively correlated to Appearance, Psychological dependence. Fashion was positively correlated to Appearance, Clothing comfort and, Psychological dependence.
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